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Data science/ML/AI

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Data science and machine learning hub Python, SQL, stats, ML, deep learning, projects, PDFs, roadmaps and AI resources. For beginners, data scientists and ML engineers 👉 https://rebrand.ly/bigdatachannels DMCA: @disclosure_bds Contact: @mldatascientist

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📈 Аналитический обзор Telegram-канала Data science/ML/AI

Канал Data science/ML/AI (@datascience_bds) языкового сегмента Английский является активным участником. Сейчас сообщество объединяет 13 674 подписчиков, занимая 9 377 место в категории Технологии и приложения и 31 635 место в регионе Индия.

📊 Показатели аудитории и динамика

С момента создания невідомо проект демонстрирует стремительный рост, собрав аудиторию из 13 674 подписчиков.

Согласно последним данным от 09 июня, 2026, канал показывает стабильную активность. За последние 30 дней изменение числа участников составило 155, а за последние 24 часа — 5, при этом общий охват остаётся высоким.

  • Статус верификации: Не верифицирован
  • Уровень вовлечённости (ER): Средний показатель вовлечённости аудитории составляет 8.03%. В первые 24 часа после публикации контент обычно набирает 2.25% реакций от общего числа подписчиков.
  • Охват публикаций: В среднем каждый пост получает 1 098 просмотров. В течение первых суток публикация набирает 308 просмотров.
  • Реакции и взаимодействия: Аудитория активно поддерживает контент: среднее количество реакций на один пост — 5.
  • Тематические интересы: Контент сосредоточен на ключевых темах, таких как panda, learning, row, api, ethic.

📝 Описание и контентная политика

Автор описывает ресурс как площадку для выражения субъективного мнения:
Data science and machine learning hub Python, SQL, stats, ML, deep learning, projects, PDFs, roadmaps and AI resources. For beginners, data scientists and ML engineers 👉 https://rebrand.ly/bigdatachannels DMCA: @disclosure_bds Contact: @mldatasci...

Благодаря высокой частоте обновлений (последние данные получены 10 июня, 2026) канал поддерживает актуальность и высокий уровень охвата публикаций. Аналитика показывает, что аудитория активно взаимодействует с контентом, что делает его важной точкой влияния в категории Технологии и приложения.

13 674
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+197 дней
+15530 день
Архив постов
Machine Learning for Everyone.pdf4.60 MB

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Logistic regression

Data Science Cheat sheet 2.0 A helpful 5-page data science cheatsheet to assist with exam reviews, interview prep, and anything in-between. It covers over a semester of introductory machine learning, and is based on MIT's Machine Learning courses 6.867 and 15.072. The reader should have at least a basic understanding of statistics and linear algebra, though beginners may find this resource helpful as well. Creator: Aaron Wang Stars ⭐️: 4.5k Forked By: 645 https://github.com/aaronwangy/Data-Science-Cheatsheet #datascience ➖➖➖➖➖➖➖➖➖➖➖➖➖➖ Join @datascience_bds for more cool repositories. *This channel belongs to @bigdataspecialist group

Process of Data Analysis
Process of Data Analysis

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Data Analytics Career Path
Data Analytics Career Path

Scientific Data Processing by Google Cloud Platform Big data, machine learning, and scientific data? It sounds like the perfect match. In this advanced-level quest, you will get hands-on practice with GCP services like Big Query, Dataproc, and Tensorflow by applying them to use cases that employ real-life, scientific data sets. By getting experience with tasks like earthquake data analysis and satellite image aggregation, Scientific Data Processing will expand your skill set in big data and machine learning so you can start tackling your own problems across a spectrum of scientific disciplines. Syllabus includes following topics: Introduction to SQL for BigQuery and Cloud SQL Rent-a-VM to Process Earthquake Data Weather Data in BigQuery Distributed Image Processing in Cloud Dataproc Analyzing Natality Data Using Vertex AI and BigQuery Predict Baby Weight with TensorFlow on AI Platform 🆓 Free Online Course ⏰ Duration : More than 6 hour 🏃‍♂️ Self paced ✅ Certification available Course Link #data #processing #data_science ➖➖➖➖➖➖➖➖➖➖➖➖➖➖ 👉Join @bigdataspecialist for more👈

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ETL vs REVERSE ETL vs ELT
ETL vs REVERSE ETL vs ELT

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